Robert Krajewski
Impact in
- Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety
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- Traffic and Road Safety
Papers in ⓘ
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- Autonomous Vehicle Technology and Safety 13
- Vehicle emissions and performance 2
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Lutz Eckstein (13 shared papers)Julian Bock (8 shared papers)Laurent Kloeker (1 shared paper)Tobias Moers (8 shared papers)Adrian Zlocki (2 shared papers)Jens Klimke (1 shared paper)Henryk Rybiński (1 shared paper)Marek Kozłowski (1 shared paper)
- Journals
- Journal of Intelligent Information Systems (1 paper)Traffic Injury Prevention (1 paper)ATZ - Automobiltechnische Zeitschrift (1 paper)ATZ worldwide (1 paper)2022 IEEE Intelligent Vehicles Symposium (IV) (1 paper)
- Partner nations
- GermanySwitzerlandPoland
In The Last Decade
Robert Krajewski
15 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Automotive Engineering 947
- Safety, Risk, Reliability and Quality 367
- Control and Systems Engineering 487
- Building and Construction 276
- Computer Vision and Pattern Recognition 244
Countries citing papers authored by Robert Krajewski
This map shows the geographic impact of Robert Krajewski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Krajewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Krajewski more than expected).
Fields of papers citing papers by Robert Krajewski
This network shows the impact of papers produced by Robert Krajewski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Krajewski. The network helps show where Robert Krajewski may publish in the future.
Co-authors
The 8 scholars most cited alongside Robert Krajewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems Hit paper breakdown → | 2018 | 861 |
| 2 | 2020 | 133 | |
| 3 | 2022 | 71 | |
| 4 | 2018 | 48 | |
| 5 | 2019 | 42 | |
| 6 | 2019 | 17 | |
| 7 | 2016 | 13 | |
| 8 | 2014 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2015 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 0 |
About Robert Krajewski
Robert Krajewski is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (13 papers), Traffic and Road Safety (3 papers), Advanced Neural Network Applications (3 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Video Surveillance and Tracking Methods (2 papers), Remote Sensing and LiDAR Applications (2 papers), Vehicle emissions and performance (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Automotive Engineering (947 citations), Safety, Risk, Reliability and Quality (367 citations), Control and Systems Engineering (487 citations), Building and Construction (276 citations) and Computer Vision and Pattern Recognition (244 citations). Robert Krajewski has collaborated with scholars based in Germany, Switzerland and Poland. Frequent co-authors include Lutz Eckstein, Julian Bock, Laurent Kloeker, Tobias Moers, Adrian Zlocki, Jens Klimke, Henryk Rybiński and Marek Kozłowski. Their work appears in journals such as Journal of Intelligent Information Systems, Traffic Injury Prevention, ATZ - Automobiltechnische Zeitschrift, ATZ worldwide and 2022 IEEE Intelligent Vehicles Symposium (IV).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.